The Methodology of Park-&-Ride Car Park Locations
[ 1 ] Wydział Inżynierii Lądowej i Transportu, Politechnika Poznańska | [ 2 ] Instytut Transportu, Wydział Inżynierii Lądowej i Transportu, Politechnika Poznańska | [ SzD ] doktorant ze Szkoły Doktorskiej | [ P ] pracownik
PL Metodyka lokalizacji parkingów Park-&-Ride
2023
abstrakt
angielski
- Park-&-Ride Car Parks
- Catchment Area Method
- Multiple Criteria Decision Aiding
- parkingi Park-&-Ride
- metoda obszaru ciążenia
- wielokryterialne wspomaganie decyzji
EN Demographic changes and an accelerated process of urbanization in Poland starting in 1989, resulted in moving people to suburbs. Reasons of this movement presented in the literature are concentrated on the avoidance of traffic, noise and crowded places with an increasing crime rate characterizing urban areas. A new problem that has arisen is an insufficient and even lack of public transport connections between suburbs and urban areas forcing people living in the suburban areas to buy cars. They are usually used to reach work, schools and shopping centers located in the city. These trips linked with the traffic movement in the downtown result in the traffic congestion, environmental problems and decrease in the quality of life in the urban areas. The municipal authorities are forced to reduce this trend by introducing many solutions like improving public transport services, encouraging the use of alternative routes, promoting carpooling and carsharing, charging for parking, investing in public transport infrastructure like bike lanes. The other example of the latter is the Park-&-Ride (P&R) car park network. One of the problems is the decision on the location of P&R car parks, which should be attractive for potential users, i.e., with a good access from the suburb areas and with a good connection to the public transport operating in the city. This article presents a combined Catchment Area method and Multiple Criteria Decision Aiding (MCDA) approach to model and evaluate different variants of P&R car park locations. As a result, it is possible to recommend the best location of P&R car parks in the transportation system. The methodology proposed by the authors is composed of six steps, i.e. (1) analysis of the transportation system including the current P&R car park network; (2) definition of the decision problem; (3) application of Catchment Area method to define new locations of P&R car parks, i.e. variants; (4) characteristic and evaluation of these variants; (5) selection of the most suitable MCDA method and its application to rank P&R car park locations; (6) analysis of results and sensitivity analysis. The proposed methodology has been verified on the real-world example of the transportation system in Poznan city, Poland. The result gives an opportunity to recommend the best P&R car park location. The presented research problem has been solved. The proposed methodology can be applied on various transportation systems of the cities. However, the set of presented criteria and their weights should be adjusted to the analyzed system.
14 - 15